RUMA
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Fear and Greed Index

SENTIMENT:

KOL CALLS

Long/Short Calls

MINDSHARE:

Intelligence

Emotions

Social Momentum

FEED:

Cultiness Index

Followers

Volume ($)

Volatility

Mcap vs BTC

Sentiment Timeframes

SharpLink Gaming, Inc (Ondo Tokenized Stock) (SBETON) Sentiment & Fear and Greed Index

As of July 5, 2026, SharpLink Gaming, Inc (Ondo Tokenized Stock)'s Ruma Fear & Greed Index is 18 (Extreme Fear), its social sentiment score is 0/100 (bearish), it holds 0.00% of crypto social mindshare. These signals are computed by Ruma from social posts across crypto Twitter/X and other sources, scored with large language models rather than keyword counts.

Updated continuously · Source: Ruma

Fear & Greed18 · Extreme Fear
Sentiment0/100
Mindshare0.00%
Price$5.31 +0.1%

Latest SharpLink Gaming, Inc (Ondo Tokenized Stock) insights

SharpLink Gaming Resumes ETH Accumulation; BitMine Joins Russell 1000Jun 26, 2026

SharpLink Gaming resumed accumulating Ethereum after an eight-month pause. BitMine Immersion Technologies was added to the Russell 1000 Index.

Frequently asked questions

What is SharpLink Gaming, Inc (Ondo Tokenized Stock)'s Fear & Greed Index?

SharpLink Gaming, Inc (Ondo Tokenized Stock)'s Ruma Fear & Greed Index is currently 18 out of 100, which is Extreme Fear. The index blends social sentiment, social interest, price momentum, volatility, and emotional intensity into a single 0–100 sentiment score, updated continuously.

Is SharpLink Gaming, Inc (Ondo Tokenized Stock) bullish or bearish right now?

SharpLink Gaming, Inc (Ondo Tokenized Stock)'s social sentiment is currently bearish, with a sentiment score of 0/100 based on how bullish or bearish the crypto social conversation is. Sentiment reflects the mood of the market, not price direction or financial advice.

How does Ruma measure SharpLink Gaming, Inc (Ondo Tokenized Stock) sentiment?

Ruma reads every relevant social post about SharpLink Gaming, Inc (Ondo Tokenized Stock) across crypto Twitter/X and other sources and scores it with large language models — capturing bullish/bearish tone, emotion, and who is speaking (from retail to smart money) — rather than counting keywords.